- A
Azure AI Video Indexer
Why wrong: Video analysis, not single image.
- B
Azure AI Face
Why wrong: Face detection, not hard hat detection.
- C
Azure AI Custom Vision
Train a custom object detection model for hard hats.
- D
Azure AI Document Intelligence
Why wrong: Document analysis, not object detection.
Question 197 of 993
Detect Hard Hats in Construction Images with Custom Vision
This AI-102 practice question tests your understanding of implement computer vision solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You need to build a solution that detects whether a person is wearing a hard hat in a construction site image. Which Azure AI service should you use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure AI Custom Vision
Azure AI Custom Vision is the correct service because it allows you to train a custom object detection model to identify specific objects—such as a hard hat—in images. Unlike pre-built services, Custom Vision lets you upload labeled images of workers with and without hard hats, train a model, and then use it to detect hard hat presence in construction site photos. This tailored approach is necessary because hard hat detection is a specialized use case not covered by generic vision APIs.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Video Indexer
Why it's wrong here
Video analysis, not single image.
- ✗
Azure AI Face
Why it's wrong here
Face detection, not hard hat detection.
- ✓
Azure AI Custom Vision
Why this is correct
Train a custom object detection model for hard hats.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document analysis, not object detection.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure AI Custom Vision with pre-built vision services like Azure AI Face or Video Indexer, assuming they can be repurposed for custom object detection, but only Custom Vision allows training on your own labeled images for specific items like hard hats.
Detailed technical explanation
How to think about this question
Under the hood, Custom Vision uses transfer learning with a pre-trained convolutional neural network (CNN) that you fine-tune on your labeled dataset. The service supports both classification and object detection; for hard hat detection, you would use the object detection domain to draw bounding boxes around hard hats. In a real-world scenario, you might need to handle varying lighting, angles, and partial occlusions, which Custom Vision can manage if you provide a diverse training set of at least 15–50 images per class.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure AI Custom Vision — Azure AI Custom Vision is the correct service because it allows you to train a custom object detection model to identify specific objects—such as a hard hat—in images. Unlike pre-built services, Custom Vision lets you upload labeled images of workers with and without hard hats, train a model, and then use it to detect hard hat presence in construction site photos. This tailored approach is necessary because hard hat detection is a specialized use case not covered by generic vision APIs.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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